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genomic or molecular datasets Background in Bayesian statistics, causal inference, or probabilistic modelling. Familiarity with modern AI architectures and foundation models. Organizational and social
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to contribute to the governance of a major international research institution. The final composition of the Management Committee will be determined following an overall of all applications, with the objective
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management of the project, ensuring its delivery in line with the scientific objectives, the approved work plan and the obligations of the Grant Agreement and the Consortium Agreement, allowing the Scientific
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the start of the position, including doctoral research. Strong track record of scientific output in AI, machine learning, computational biology, or biomedicine, demonstrating independent methodological
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RNA biology, biochemistry, structural biology and/or cell biology. Proven track record of research activity in molecular biology. Strong background in biochemistry, mRNA translation and cell biology
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stakeholders. Preferred Significant experience in technology transfer, venture building or related innovation roles, with a proven track record in translating research into startups, licensing deals